ANALYSIS AND SELECTION OF VARIABLES IN LINEAR-REGRESSION

被引：1386

作者：

HOCKING, RR

机构：

来源：

BIOMETRICS | 1976年 / 32卷 / 01期

关键词：

D O I：

10.2307/2529336

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The problems of subset selection and variable analysis in linear regression are reviewed. The underlying theory, computational techniques and selection criteria are discussed. Alternatives to least squares, including ridge and principal component regression, are considered. These biased estimation procedures are related and contrasted with least squares. An example on biased estimators for air pollution data is given.

引用

页码：1 / 49

页数：49

共 169 条

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